دورية أكاديمية
Human milk composition and infant anthropometrics: overview of a systematic review with clinical and research implications
| العنوان: | Human milk composition and infant anthropometrics: overview of a systematic review with clinical and research implications |
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| المؤلفون: | Meghan B. Azad, Meredith M. Brockway, Sarah M. Reyes |
| المصدر: | International Breastfeeding Journal, Vol 19, Iss 1, Pp 1-7 (2024) |
| بيانات النشر: | BMC, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Pediatrics LCC:Public aspects of medicine |
| مصطلحات موضوعية: | Breastfeeding, Human milk, Infant growth, Macronutrients, Micronutrients, Pediatrics, RJ1-570, Public aspects of medicine, RA1-1270 |
| الوصف: | Abstract Background Despite global public health organizations endorsing breastfeeding or human milk (HM) as the optimal source of nutrition for infants, detailed knowledge of how HM composition influences infant growth is lacking. In this commentary we summarize and interpret the key findings of a large systematic review on HM components and child growth (N = 141 articles included). We highlight the most consistent associations, discuss study quality issues, explore socio-economic and time trends in this body of research, and identify gaps and future research directions. Key Findings of Systematic Review We grouped HM components into three categories: micronutrients (28 articles), macronutrients (57 articles), and bioactives (75 articles). Overall, we struggled to find consistent associations between HM components and infant growth. The majority of studies (85%) were of moderate or low-quality, with inconsistent HM collection and analysis strategies being identified as the most substantial quality concerns. Additional quality issues included failing to account for potential confounding by factors such as breastfeeding exclusivity and maternal body mass index. Considerations for Future Human Milk Research Many opportunities exist for the future of HM research. Using untargeted metabolomics will expand our understanding of HM components beyond previously defined and well-understood components. Machine learning will allow researchers to investigate HM as an integrated system, rather than a collection of individual components. Future research on HM composition should incorporate evidence-based HM sampling strategies to encompass circadian variation as well as infant consumption. Additionally, researchers need to focus on developing high quality growth data using consistent growth metrics and definitions. Building multidisciplinary research teams will help to ensure that outcomes are meaningful and clinically relevant. Conclusion Despite a large body of literature, there is limited quality evidence on the relationship between HM composition and infant growth. Future research should engage in more accurate collection of breastfeeding data, use standardized HM collection strategies and employ assays that are validated for HM. By systematically evaluating the existing literature and identifying gaps in existing research methods and practice, we hope to inspire standardized methods and reporting guidelines to support robust strategies for examining relationships between HM composition and child growth. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1746-4358 |
| العلاقة: | https://doaj.org/toc/1746-4358Test |
| DOI: | 10.1186/s13006-024-00652-x |
| الوصول الحر: | https://doaj.org/article/45aa302736834b9cbd8940a8a5d8ce87Test |
| رقم الانضمام: | edsdoj.45aa302736834b9cbd8940a8a5d8ce87 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 17464358 |
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| DOI: | 10.1186/s13006-024-00652-x |